![conference banner](/images/conference-banner.jpeg)
Abstract
With the rapid development of high-throughput techniques, mass spectrometry has been widely used for large-scale protein analysis. To search for the existing proteins, discover biomarkers, and diagnose and prognose diseases, machine learning methods are applied in mass spectrometry data analysis. This paper reviews the applications of five kinds of machine learning methods to mass spectrometry data analysis from an algorithmic point of view, including support vector machine, decision tree, random forest, naive Bayesian classifier and deep learning.
Keywords: Mass spectrometry, high-throughput technique, machine learning, deep learning, computational proteomics, protein identification.
Current Proteomics
Title:Machine Learning for Mass Spectrometry Data Analysis in Proteomics
Volume: 18 Issue: 5
Author(s): Juntao Li, Kanglei Zhou* Bingyu Mu*
Affiliation:
- School of Computer Science and Engineering, Beihang University, Beijing,China
- College of Arts and Design, Zhengzhou University of Light Industry, Zhengzhou,China
Keywords: Mass spectrometry, high-throughput technique, machine learning, deep learning, computational proteomics, protein identification.
Abstract: With the rapid development of high-throughput techniques, mass spectrometry has been widely used for large-scale protein analysis. To search for the existing proteins, discover biomarkers, and diagnose and prognose diseases, machine learning methods are applied in mass spectrometry data analysis. This paper reviews the applications of five kinds of machine learning methods to mass spectrometry data analysis from an algorithmic point of view, including support vector machine, decision tree, random forest, naive Bayesian classifier and deep learning.
Export Options
About this article
Cite this article as:
Li Juntao , Zhou Kanglei*, Mu Bingyu *, Machine Learning for Mass Spectrometry Data Analysis in Proteomics, Current Proteomics 2021; 18 (5) . https://dx.doi.org/10.2174/1570164617999201023145304
DOI https://dx.doi.org/10.2174/1570164617999201023145304 |
Print ISSN 1570-1646 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-6247 |
Call for Papers in Thematic Issues
Machine Learning Based Computational Biology and Digital Medicine
Machine learning has become a major research topic with a wide range of applications, such as intelligent driving, public security, financial risk management, medical diagnosis, and computational biology. This Special Thematic Issue entitled: "Recent Trends in Machine Learning Based Computational Biology and Digital Medicine" aims to explore the scientific-technological frontiers ...read more
![Wayfinder Image](/images/wayfinder.jpg)
- Author Guidelines
- Graphical Abstracts
- Fabricating and Stating False Information
- Research Misconduct
- Post Publication Discussions and Corrections
- Publishing Ethics and Rectitude
- Increase Visibility of Your Article
- Archiving Policies
- Peer Review Workflow
- Order Your Article Before Print
- Promote Your Article
- Manuscript Transfer Facility
- Editorial Policies
- Allegations from Whistleblowers
- Announcements
Related Articles
-
Future Directions for Pharmacotherapies for Treatment-resistant Bipolar Disorder
Current Neuropharmacology May Endocrine Therapy be Associated with Cognitive Impairment in Breast Cancer Patients?
Clinical Cancer Drugs Cancer Drug Development Using Glucose Metabolism Radiopharmaceuticals
Current Pharmaceutical Design Osteopontin; as a Target Molecule for the Treatment of Inflammatory Diseases
Current Drug Targets Recent Literature Review on Coumarin Hybrids as Potential Anticancer Agents
Anti-Cancer Agents in Medicinal Chemistry Unfolded Protein Response is Involved in Trans-Platinum (II) Complex-Induced Apoptosis in Prostate Cancer Cells via ROS Accumulation
Anti-Cancer Agents in Medicinal Chemistry Phosphatidylinositol 3-kinase Signaling as a Therapeutic Target for Cervical Cancer
Current Cancer Drug Targets Protein Phosphatase Inhibition: Structure Based Design. Towards New Therapeutic Agents
Current Pharmaceutical Design Stimulation of Tumor-Specific Immunity by p5 HER-2/neu Generated Peptide Encapsulated in Nano-liposomes with High Phase Transition Temperature Phospholipids
Current Drug Delivery Bispecific Antibodies for Targeted Delivery of Dendritic Polyglycerol (dPG) Prodrug Conjugates
Current Cancer Drug Targets A Survey of Deep Learning Based Methods in Medical Image Processing
Current Signal Transduction Therapy An Instrument-Based Screening Assay for DNA-Targeted Anticancer Drugs Using Resonance Light Scattering
Combinatorial Chemistry & High Throughput Screening Molecular Docking Studies of Novel Thiosemicarbazone-based Indoles as Potential PI3Kα Inhibitors
Letters in Drug Design & Discovery Meet Our Regional Editor
Current Bioinformatics Hydroalcoholic Extract of <i>Achillea Wilhelmsii</i> Decreases the Expressions of Hippo Signaling Pathway-Associated Oncogenes in the A549 Lung Cancer Cell Line
Current Chemical Biology Stem Cell Therapy for Alzheimers Disease
CNS & Neurological Disorders - Drug Targets C75, a Fatty Acid Synthase (FAS) Inhibitor
Recent Patents on Endocrine, Metabolic & Immune Drug Discovery (Discontinued) Dietary Antioxidants and Oxidative Stress from a Human and Plant Perspective: A Review
Current Nutrition & Food Science Development and Applications of Optical Imaging Techniques in Cancer Diagnosis: Diffuse Optical Tomography and Microendoscopy
Current Medical Imaging Novel Series of Coumarinyl Substituted-thiazolidin-2,4-dione Analogs as Anticancer Agents: Design, Synthesis, Spectral Studies and Cytotoxicity Evaluation
Anti-Cancer Agents in Medicinal Chemistry